Senior Data Engineer, AWS — Build Scalable Data Pipelines in Edinburgh
Senior Data Engineer, AWS — Build Scalable Data Pipelines

Senior Data Engineer, AWS — Build Scalable Data Pipelines in Edinburgh

Edinburgh Full-Time 60000 - 80000 £ / year (est.) No home office possible
The Capital Markets Company GmbH

At a Glance

  • Tasks: Design and deploy AWS-based data pipelines for top-tier financial clients.
  • Company: Leading financial technology company in a collaborative environment.
  • Benefits: Discretionary bonus, health insurance, and generous holiday flexibility.
  • Why this job: Join a team making impactful technology solutions in the finance sector.
  • Qualifications: Strong skills in Python, Scala, or Java; experience with Big Data frameworks.
  • Other info: Hybrid role based in Edinburgh with great career growth potential.

The predicted salary is between 60000 - 80000 £ per year.

A leading financial technology company is seeking a Senior Data Engineer in Edinburgh. This hybrid role involves designing and deploying AWS-based data pipelines for Tier 1 clients in financial services.

The ideal candidate will possess strong skills in Python, Scala, or Java, and experience with Big Data frameworks like Spark and Hadoop.

Benefits include a discretionary bonus, health insurance, and generous holiday flexibility. Join a collaborative team and contribute to impactful technology solutions.

Senior Data Engineer, AWS — Build Scalable Data Pipelines in Edinburgh employer: The Capital Markets Company GmbH

As a leading financial technology company based in Edinburgh, we pride ourselves on fostering a collaborative work culture that empowers our employees to innovate and excel. With competitive benefits such as a discretionary bonus, comprehensive health insurance, and generous holiday flexibility, we are committed to supporting your professional growth and work-life balance while you contribute to impactful technology solutions for Tier 1 clients.
The Capital Markets Company GmbH

Contact Detail:

The Capital Markets Company GmbH Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer, AWS — Build Scalable Data Pipelines in Edinburgh

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines or any relevant projects. This is your chance to demonstrate your expertise in Python, Scala, or Java and make a lasting impression.

Tip Number 3

Prepare for the technical interview! Brush up on AWS services and Big Data frameworks like Spark and Hadoop. We recommend doing mock interviews with friends or using online platforms to get comfortable.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Senior Data Engineer, AWS — Build Scalable Data Pipelines in Edinburgh

AWS
Data Pipeline Design
Python
Scala
Java
Big Data Frameworks
Spark
Hadoop
Collaboration Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with AWS and data pipelines. We want to see how your skills in Python, Scala, or Java shine through, so don’t hold back on showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for financial technology and how your background aligns with our needs. Keep it engaging and personal!

Showcase Your Big Data Experience: If you've worked with frameworks like Spark or Hadoop, make sure to highlight that in your application. We love seeing candidates who can demonstrate their hands-on experience with big data solutions.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!

How to prepare for a job interview at The Capital Markets Company GmbH

Know Your Tech Stack

Make sure you’re well-versed in Python, Scala, or Java, as well as Big Data frameworks like Spark and Hadoop. Brush up on your knowledge of AWS services too, as they’ll likely ask you about how to design and deploy data pipelines effectively.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when it comes to designing scalable solutions for clients.

Understand the Financial Sector

Since this role is within a financial technology company, having a grasp of the financial services landscape can set you apart. Familiarise yourself with common data challenges in finance and think about how your skills can address these issues.

Ask Insightful Questions

At the end of the interview, don’t shy away from asking questions. Inquire about the team dynamics, the types of projects you’d be working on, and how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.

Senior Data Engineer, AWS — Build Scalable Data Pipelines in Edinburgh
The Capital Markets Company GmbH
Location: Edinburgh

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